Use of detailed kinetic mechanisms for the prediction of autoignitions |
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| Institution: | 1. DCPR-CNRS, 1, rue Grandville, BP 451-54001 Nancy cedex, France;2. School of Chemistry, University of Leeds, Leeds LS2 9JT, UK;1. School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;2. School of Photovoltaic and Renewable Energy Engineering, The University of New South Wales, Sydney, NSW 2052, Australia;1. Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China;2. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, China;3. School of Mechatronics Engineering, Chizhou University, Chizhou 247000, China;1. Beijing Institute of Petrochemical Technology, Beijing 102617, China;2. Beijing Key Laboratory of Enze Biomass Fine Chemical, Beijing 102617, China;1. CMT-Motores Térmicos, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain;2. Laboratorium für Aerothermochemie und Verbrennungssysteme, Eidgeössiche Technische Hochschule Zürich, Sonneggstrasse 3, CH-8092 Zürich, Switzerland |
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| Abstract: | This paper describes how automatically generated detailed kinetic mechanisms are obtained for the oxidation of alkanes and how these models could lead to a better understanding of autoignition and cool flame risks at elevated conditions. Examples of prediction of the occurrence of different autoignition phenomena, such as cool flames or two-stage ignitions are presented depending on the condition of pressure, temperature and mixture composition. Three compounds are treated, a light alkane, propane, and two heavier ones, n-heptane and n-decane. |
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